Instructions to use hf-internal-testing/tiny-random-MimiModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MimiModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MimiModel")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("hf-internal-testing/tiny-random-MimiModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MimiModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71a0025d99ff6c7eff60ce2ecd95d141fba939eef4eb65d44ea1019aa831accd
- Size of remote file:
- 1.28 MB
- SHA256:
- 2e40b7f2ff751d922c66ad078cff9230f07400943eb19eb0c8d8850f2bce0c97
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